Datasets:
Force update config.yaml
Browse files- checkpoints/main/config.yaml +6 -15
checkpoints/main/config.yaml
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@@ -1,11 +1,10 @@
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output_dir: "models/main/"
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seed: 42
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resume_from_checkpoint: "latest"
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batch_size: 32
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num_train_epochs: 2
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max_train_steps:
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guidance_scale: 3.0
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conditioning_dropout_prob: 0.1
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checkpointing_steps: 5000
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@@ -35,21 +34,13 @@ adam_epsilon: 1e-08
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push_to_hub: false
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hub_token: null
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hub_model_id: null
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wan_path: "./models/Wan-AI/Wan2.1-T2V-1.3B"
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max_grad_norm: 0.1 # vanilla 0.1
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tiled: False
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mini_validation_steps:
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validation_steps:
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tracker_project_name: "RelightFormer"
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# model
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rope: "PRoPE" # wan wan-no-frame prope gta cape so4
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resolution: 256
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# ablation
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ablation: False
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training_in_same_view: True
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max_view: 16
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output_dir: "models/ablation/"
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seed: 42
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resume_from_checkpoint: "latest"
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batch_size: 32
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num_train_epochs: 2
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max_train_steps: 80000
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guidance_scale: 3.0
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conditioning_dropout_prob: 0.1
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checkpointing_steps: 5000
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push_to_hub: false
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hub_token: null
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hub_model_id: null
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max_grad_norm: 0.1
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tiled: False
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mini_validation_steps: 2000
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validation_steps: 5000
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tracker_project_name: "RelightFormer"
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rope: "PRoPE"
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resolution: 256
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ablation: False
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training_in_same_view: True
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max_view: 16
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